Large genome model: Open source AI trained on trillions of bases

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
The University of Texas at Arlington

UTA researcher uses AI to rethink navigation skills

While the findings point to limits in what AI can currently reveal about everyday cognitive skills, the technology remains a powerful research tool. Weisberg said more robust models could detect ...
IEEE

Automatic Design of Deep Graph Neural Networks With Decoupled Mode

Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
IEEE

SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed Set

Abstract: Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have ...
GitHub

Self-Driving Car with JavaScript

This project is a personal recreation and learning experience based on the "Self-Driving Car with JavaScript Course" tutorial by Radu, available on the freeCodeCamp.org YouTube channel. The course ...